The growing need for advanced healthcare solutions has led to the development of innovative technologies aimed at enhancing patient care. This project introduces a Medicine Transport Robot with Integrated Health Monitoring System, incorporating Bluetooth control, SpO2 sensor, a temperature sensor, an Arduino controller, an LCD display, and a motor driver unit. The system enables real-time monitoring of vital health parameters such as SpO2 levels and body temperature, displaying the data on an LCD screen for easy access. Bluetooth connectivity ensures seamless remote control of the robot, allowing it to autonomously transport medicines and medical supplies within healthcare facilities. Arduino-based architecture efficiently processes sensor data and controls the robot’s movement, ensuring smooth operation. With its ability to integrate automated medicine delivery and real-time patient monitoring, the project offers a scalable solution suitable for hospitals, clinics, and home healthcare settings.
Introduction
Overview:
The Real-Time Patient Health Monitoring System is a transformative healthcare initiative that uses wearable technology, cloud computing, machine learning, and Bluetooth communication to monitor patients’ vital signs—pulse rate, body temperature, and oxygen levels (SpO2)—in real-time. The goal is to provide personalized, proactive, and remote healthcare, shifting the paradigm from reactive treatment to continuous health preservation.
Problem Addressed:
Traditional systems are limited to hospital settings, often requiring patients to remain onsite for continuous monitoring. These systems lack mobility, have limited communication ranges, and are not suitable for remote or post-discharge care. Additionally, healthcare disparities and a shortage of professionals necessitate technology-driven, scalable solutions.
Proposed Solution:
The project integrates:
Wearable sensors (SpO2, temperature, and heart rate)
Arduino Uno as a central controller
Bluetooth module for wireless data transmission
LCD display for local real-time data output
It includes a Medicine Transport Robot to automate medicine delivery, enhancing patient care efficiency, particularly in hospitals and home settings.
Objectives:
Enable real-time monitoring and wireless data transmission.
Allow remote access for doctors.
Ensure sensor accuracy and system reliability.
Securely store and analyze patient data.
Improve healthcare outcomes through timely intervention.
Literature Insights:
Multiple studies explored the integration of IoT, sensor networks, AI, and wireless communication in healthcare. Key trends include:
Use of LSTM networks for disease prediction.
Incorporation of blockchain for secure data handling.
Development of user-friendly interfaces and cloud-based analytics for both individual and population health insights.
System Features:
Real-time health tracking (pulse, temperature, SpO2)
Remote doctor access via Bluetooth
Data logging and secure storage
Scalability for future health parameters
User-friendly interface for interpretation and alerts
Technical Components:
Arduino Uno (controller)
Pulse Oximeter sensor
Temperature sensor
Bluetooth module for communication
LCD display for output
System Flow:
Sensors gather patient data → Arduino processes it → Data is displayed on LCD → Transmitted via Bluetooth → Doctors remotely monitor and make decisions.
Advantages:
Increased patient engagement and autonomy
Improved outcomes through early intervention
Reduced errors and enhanced experience
Time and cost efficiency
Automation of routine monitoring tasks
Conclusion
The proposed patient health monitoring system holds significant promise for use in emergency situations, enabling daily monitoring, recording, and display of vital health data. The system utilizes Bluetooth communication for seamless real-time data transmission, allowing healthcare professionals or caregivers to monitor essential parameters such as SpO2 levels, body temperature, and pulse rate without requiring complex networking infrastructure.
During the implementation phase, the system demonstrated remarkable accuracy and efficiency in continuously gathering and analyzing crucial health parameters. The integration of Bluetooth-based connectivity, Arduino control, and sensor technology played a pivotal role in providing real-time insights, facilitating proactive healthcare interventions, and improving patient outcomes.
A key achievement of this project is its ability to enhance patient engagement. The user-friendly interface, along with the compact design of the monitoring device, empowers patients to actively participate in managing their health. Real-time access to vital signs, on-device display, and wireless control via Bluetooth contribute to a more efficient, accessible, and patient-centered healthcare solution suitable for hospitals, clinics, and home healthcare applications.
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